pREST VS go-mysql

Compare pREST vs go-mysql and see what are their differences.

pREST

PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new (by prest)

go-mysql

a powerful mysql toolset with Go (by siddontang)
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pREST go-mysql
15 1
4,078 4,410
0.8% 1.2%
8.0 7.6
3 days ago 8 days ago
Go Go
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pREST

Posts with mentions or reviews of pREST. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-12.

go-mysql

Posts with mentions or reviews of go-mysql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.

What are some alternatives?

When comparing pREST and go-mysql you can also consider the following projects:

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial

go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.

cockroach - CockroachDB - the open source, cloud-native distributed SQL database.

diskv - A disk-backed key-value store.

pgweb - Cross-platform client for PostgreSQL databases

dgraph - The high-performance database for modern applications

goose

tiedot - A rudimentary implementation of a basic document (NoSQL) database in Go